281 related articles

A comprehensive guide to Dify, the open-source AI application platform: who it's for, core advantages, Dify vs. Coze comparison, and a step-by-step learning path.

This AI Daily covers five sectors: DeepSeek V4 reportedly enters grayscale testing with improved chain-of-thought; Musk previews Grok 4.6 and 5.0 with 2T parameters; Intern-S2 open-source model beats Claude Opus 4.8; xAI builds 2000MW Colossus cluster; NVIDIA RoboTTT breaks long-horizon robotics barriers.

A deep dive into the three core LLM job roles — Application Engineer, R&D Engineer, and Algorithm Engineer — covering academic requirements, salaries, and skill roadmaps.

A 3-month structured roadmap for developers transitioning into AI/LLM engineering: Python & API basics, LangChain/FastAPI stack, and RAG/Agent projects.
Microsoft's Two-Track AI Coding Strate…
Microsoft plans to launch Claude Code and GitHub Copilot CLI, making the terminal the new frontier for AI coding. A deep dive into Microsoft's multi-model strategy and its impact on developer workflows.

A structured 3-phase roadmap for frontend developers transitioning to AI: master Transformer fundamentals, build RAG & Agent skills, then advance to model fine-tuning.

A deep dive comparing Vibe Coding vs AI Engineering, with hands-on analysis of Claude Code and Codex, two real projects, and the role of Skills in enterprise AI development.

Vibe Coding is an AI-driven development paradigm that requires no coding skills. Use natural language to guide AI through design, development, and testing. Learn the 4-step workflow using Gemini, Figma Make, and Claude Code.
Forward Deployed Engineer (FDE): The M…
Forward Deployed Engineers (FDEs) are the hottest emerging role in AI. Learn what FDEs do, what skills they need, why companies like Palantir and OpenAI can't hire enough of them, and what this means for your career.

Learn how to build a RAG knowledge base with zero code using Dify's visual platform. Compare Dify vs Coze for private deployment, and master the Dify+Qwen+RAG stack.

Traditional Java roles are shrinking while AI demand surges. Learn the three paths into AI for developers, and why RAG knowledge bases are the highest-ROI entry point for Java engineers.

AI code getting messier with edits? The root cause isn't weak model capability but a lack of context and process. A deep dive into Matt Pocock's Skills v1.1: grilling, vertical-slice tickets, TDD, and WebFinder.
GitHub Daily · July 19: The Dual Advan…
GitHub Trending July 19: ktransformers tops the list with heterogeneous inference optimization, while jcode, cua, and AstrBot signal a maturing Agent ecosystem.

A deep dive into Vibe Coding: how AI-led development workflows are reshaping frontend engineers' value. From interview hot topics to a three-tier competency model for the AI era.
Agnost AI: How to Automatically Extrac…
Agnost AI, a YC-backed startup, automatically extracts user feedback and product insights from AI Agent conversations. Deep dive into its positioning, technology, and challenges.

A complete 5-stage AI large model learning roadmap — from Python basics and prompt engineering to RAG pipelines, Agent development, and private model deployment.

A structured AI Agent learning roadmap covering 4 stages: foundations, core frameworks, scenario practice, and advanced product thinking. Master LangChain, tool calling, memory, and more.

New to AI Agents? This guide breaks down the full learning path — covering Agent principles, Prompt Engineering, RAG, multi-Agent systems, and hands-on projects to get you building fast.

Alibaba open-sources 14B dance model Wan-Dancer, AutoNavi launches World Studio, Stepfun debuts AI-native phone STEPS NEO; GPT-5.6 file deletion and AI companion shutdowns spark safety and regulation debates.

Confused by scattered LLM resources and unclear learning paths? This guide maps a complete roadmap from basics to advanced, covering Karpathy, Stanford CS224N, DeepLearning.AI, Hugging Face, plus RAG, fine-tuning, and Agent deep dives.